Systems Test Engineer

About This Role

This engineering job involves leading simulation-driven testing, automation, and software quality efforts for the company's Hivemind autonomy software. The engineer will build and execute test frameworks to ensure the software performs reliably across simulated and real-world mission environments. This role suits someone who thrives in fast-paced environments, embraces learning, and brings a high-ownership, mission-driven mindset.

Responsibilities

• Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases
• Identify, reproduce, and diagnose software issues, collaborating closely with development teams to drive fixes and improvements
• Create and execute test plans and documentation for autonomy software in simulated environments, ensuring mission and safety requirements are met
• Design, implement, and maintain simulation-based test frameworks to validate Hivemind autonomy behavior and performance
• Build tools and utilities in Python to automate testing, data processing, and analysis workflows
• Develop test harnesses and data validation tools for Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) / Vehicle-in-the-Loop (VIL) and simulation environments
• Contribute to the definition of testing methodologies, metrics, and performance benchmarks for autonomy software validation
• Support the scaling and reliability of simulation infrastructure used for large-scale software validation
• Maintain detailed and accurate test documentation, ensuring traceability and knowledge sharing across teams
• Work with developers to integrate test coverage directly into the development pipeline (CI/CD)

Requirements

• Typically requires a minimum of 3-5 years of related experience with a Bachelor’s degree; or 2-4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience
• Proficiency in Python
• Experience in robotics, small UAS, or related hands-on engineering projects
• Strong analytical, problem-solving, and debugging skills
• Passionate about intelligent aircraft systems
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional software, hardware and mechanical engineering teams
• Adaptability and a willingness to learn new technologies and methodologies quickly in a fast-paced environment

Benefits

• Bonus
• Benefits
• Equity
• International premium
• Hardship differential
• Cost of living differential
• Living quarters allowance
• Foreign service transfer allowance